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Here is a podcast episode with Archit Sharma where we discuss his work on unsupervised, non-episodic, autonomous reinforcement learning, and much more!
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Here is a podcast episode with Archit Sharma where we discuss his work on unsupervised, non-episodic, autonomous reinforcement learning, and much more!
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https://www.youtube.com/watch?v=hA3UUlLuwr4
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Here is a podcast episode with Archit Sharma where we discuss his work on unsupervised, non-episodic, autonomous reinforcement learning, and much more!
submitted by /u/thejashGI
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AutoGluon-TimeSeries is the latest addition to AutoGluon, which helps you easily build powerful time series forecasting models with as little as three lines of code. Time series forecasting is a common task in a wide array of industries as well as scientific domains. Having access to reliable forecasts for supply, demand, or capacity is crucial […]
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AWS re:Invent season is upon us again! Just a few days to go until re:Invent takes place for the 11th year in Las Vegas, Nevada. The Artificial Intelligence and Machine Learning team at AWS has been working hard to offer amazing content, an outstanding AWS DeepRacer experience, and much more. In this post, we give […]
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Museumgoers will be able to explore two sunken WWII ships as if they were scuba divers on the ocean floor, thanks to work at Curtin University in Perth, Australia. Exhibits in development, for display in Australia and potentially further afield, will use exquisitely detailed 3D models the researchers are creating to tell the story of Read article >
The post See a Sea Change: 3D Researchers Bring Naval History to Life appeared first on NVIDIA Blog.
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Today, we announce the public availability of Amazon’s state-of-the-art Alexa Teacher Model with 20 billion parameters (AlexaTM 20B) through Amazon SageMaker JumpStart, SageMaker’s machine learning hub. AlexaTM 20B is a multilingual large-scale sequence-to-sequence (seq2seq) language model developed by Amazon. You can use AlexaTM 20B for a wide range of industry use-cases, from summarizing financial reports […]
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Learn how Yara is using Amazon SageMaker features, including the model registry, Amazon SageMaker Model Monitor, and Amazon SageMaker Pipelines to streamline the machine learning (ML) lifecycle by automating and standardizing MLOps practices. We provide an overview of the setup, showcasing the process of building, training, deploying, and monitoring ML models for plants around the globe.
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Image classification is a computer vision-based machine learning (ML) technique that allows you to classify images. Some well-known examples of image classification include classifying handwritten digits, medical image classification, and facial recognition. Image classification is a useful technique with several business applications, but building a good image classification model isn’t trivial. Several considerations can play […]
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Organizations are using machine learning (ML) and AI services to enhance customer experience, reduce operational cost, and unlock new possibilities to improve business outcomes. Data underpins ML and AI use cases and is a strategic asset to an organization. As data is growing at an exponential rate, organizations are looking to set up an integrated, […]
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Meet the electric SUV with magnetic appeal. Lucid Group unveiled its next act, the Gravity SUV, during the AutoMobility Los Angeles auto show. The automaker also launched additional versions of the hit Lucid Air sedan — Air Pure and Air Touring. Both models offer the future-ready DreamDrive Pro driver-assistance system, powered by the NVIDIA DRIVE Read article >
The post A Force to Be Reckoned With: Lucid Group Reveals Gravity SUV, Built on NVIDIA DRIVE appeared first on NVIDIA Blog.
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Gaming in the living room is getting an upgrade with GeForce NOW. This GFN Thursday, kick off the weekend streaming GeForce NOW on Samsung TVs, with upcoming support for 4K resolution. Get started with the 10 new titles streaming this week. Plus, Yes by YTL Communications, a leading 5G provider in Malaysia, today announced it Read article >
The post Get the Big Picture: Stream GeForce NOW in 4K Resolution on Samsung Smart TVs appeared first on NVIDIA Blog.
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The U.S. National Oceanic and Atmospheric Administration has selected Lockheed Martin and NVIDIA to build a prototype system to accelerate outputs of Earth Environment Monitoring and their corresponding visualizations. Using AI techniques, such a system has the potential to reduce by an order of magnitude the amount of time necessary for the output of complex Read article >
The post Lockheed Martin, NVIDIA to Help US Speed Climate Data to Researchers appeared first on NVIDIA Blog.
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https://github.com/hanlinniu/turtlebot3_ddpg_collision_avoidance
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It’s good to have your business listed on top free business directories. Apart from increasing the visibility of your company, you will also get many benefits from it. People will know about your business and they might even be able to find it with ease. If you have a small business or a startup. Listing… Read More »List Your Business on Top Free Business Directories in the USA
The post List Your Business on Top Free Business Directories in the USA appeared first on Data Science Central.
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So I'm into modding but I just discovered today that AI can apparently cover voice acting too??
https://www.youtube.com/watch?v=1BGUMdFiiEs&ab_channel=Mr.X
This is just so crazy. I can think of a few modules that take custom input but none is as good as whatever this is. Please help identify this kickass voice training AI
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A well-designed CI/CD pipeline is essential to scale any software development workflow effectively. When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. At AWS, we’re continuing to innovate to simplify the MLOps workflow. In this post, we discuss some […]
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Today, many AWS customers are building enterprise-ready machine learning (ML) platforms on Amazon Elastic Kubernetes Service (Amazon EKS) using Kubeflow on AWS (an AWS-specific distribution of Kubeflow) across many use cases, including computer vision, natural language understanding, speech translation, and financial modeling. With the latest release of open-source Kubeflow v1.6.1, the Kubeflow community continues to […]
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According to an article by Cybersecurity Ventures, the damage caused by Ransomware (a type of malware that can block users from accessing their data unless they pay a ransom) increased by 57 times in 2021 as compared to 2015. Furthermore, it’s predicted to cost its victims $265 billion (USD) annually by 2031. At the time […]
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Content creators can now pick up the GeForce RTX 4080 GPU, available from top add-in card providers including ASUS, Colorful, Gainward, Galaxy, GIGABYTE, INNO3D, MSI, Palit, PNY and ZOTAC, as well as from system integrators and builders worldwide.
The post GeForce RTX 4080 GPU Launches, Unlocking 1.6x Performance for Creators This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Enterprises increasingly deploy machine learning models to analyze corporate data that informs vital business issues.
The post The Business Analysis Benefits and Limitation Of AI and Synthetic Data appeared first on Data Science Central.
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Kafka started as open-source software installed on a server. Complex and highly-configurable, early Kafka adopters learned first-hand how difficult, time-consuming and expensive managing Kafka clusters could be. Those staying with on-premises Kafka are adopting solutions such as data observability platforms to empower them with automated visibility and control over their environments.
The post The 5 Reasons to Use Data Observability to Reduce Confluent Cloud Kafka Costs appeared first on Data Science Central.
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I recently participated in a regional workshop of government, education, business, and social leaders where we were trying to ascertain and assess 1) the certainty of national trends and 2) the impact of those trends on the region.
The post AI and Data Literacy: A National Mandate appeared first on Data Science Central.
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With the layoffs at Meta this week, it's time to review metaverse strategies. Meta was increasingly bullish about the timelines, as were many analysts. But where do we stand now?
The post Metaverse 2.0: What could the long-term vision for the metaverse look like? appeared first on Data Science Central.
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There’s a change foot in the media and entertainment industry, and we have artificial intelligence (AI) to thank for it. The global industry is utilizing the power of AI to make visual content more interactive and exciting. It helps to serve the audience to personalize content reach while enhancing the viewing experience that is more interesting and entertaining.
The post Media and Entertainment Sector: Applications of Artificial Intelligence appeared first on Data Science Central.
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MIT CSAIL researchers solve a differential equation behind the interaction of two neurons through synapses to unlock a new type of speedy and efficient AI algorithm.
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🔥 CleanRL's paper has been accepted to the Journal of Machine Learning Research! Introducing CleanRL at v1.0.0, a DRL library that is easy to read, well-documented, and adequately benchmarked. We have added reworked documentation, JAX support, hyperparameter tuning, and more.
Here are the links:
GitHub Release: https://github.com/vwxyzjn/cleanrl/releases/tag/v1.0.0
Twitter thread: https://twitter.com/vwxyzjn/status/1592246430043103232
Paper Link: https://jmlr.org/papers/v23/21-1342.html
I am the main author & feel free to ask me anything here.
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Data is transforming every field and every business. However, with data growing faster than most companies can keep track of, collecting data and getting value out of that data is a challenging thing to do. A modern data strategy can help you create better business outcomes with data. AWS provides the most complete set of […]
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In machine learning (ML), data quality has direct impact on model quality. This is why data scientists and data engineers spend significant amount of time perfecting training datasets. Nevertheless, no dataset is perfect—there are trade-offs to the preprocessing techniques such as oversampling, normalization, and imputation. Also, mistakes and errors could creep in at various stages […]
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At AWS, we have been investing in healthcare since Day 1 with customers including Moderna, Rush University Medical Center, and the NHS who have built breakthrough innovations in the cloud. From developing public health analytics hubs, to improving health equity and patient outcomes, to developing a COVID-19 vaccine in just 65 days, our customers are utilizing […]
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It doesn’t matter if you love hockey, basketball or soccer. Thanks to the internet, there’s never been a better time to be a sports fan. But editing together so many social media clips, long-form YouTube highlights and other videos from global sporting events is no easy feat. So how are all of these craveable video Read article >
The post Attention, Sports Fans! WSC Sports’ Amos Berkovich on How AI Keeps the Highlights Coming appeared first on NVIDIA Blog.
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I've been using Mastodon as a social media platform for a few years, and one thing I like is how you can join themed communities. For example, you can join mastodon.gamedev.place if you want to hang out with people who build games, or oslo.town if
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AI Weirdness: the strange side of machine learning
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Hi, recently a company called Anything World raised money for their platform which can generate rigging and animations for any 3D model. I was wondering if anyone has an idea on how they're doing this, as well as any prior research in this field.
https://anything.world/
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Amazon SageMaker Data Wrangler helps you understand, aggregate, transform, and prepare data for machine learning (ML) from a single visual interface. It contains over 300 built-in data transformations so you can quickly normalize, transform, and combine features without having to write any code. Data science practitioners generate, observe, and process data to solve business problems […]
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Today, we are launching Amazon SageMaker inference on AWS Graviton to enable you to take advantage of the price, performance, and efficiency benefits that come from Graviton chips. Graviton-based instances are available for model inference in SageMaker. This post helps you migrate and deploy a machine learning (ML) inference workload from x86 to Graviton-based instances […]
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With the end of Moore’s law, traditional approaches to meet the insatiable demand for increased computing performance will require disproportionate increases in costs and power. At the same time, the need to slow the effects of climate change will require more efficient data centers, which already consume more than 200 terawatt-hours of energy each year, Read article >
The post Going Green: New Generation of NVIDIA-Powered Systems Show Way Forward appeared first on NVIDIA Blog.
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A finalist for the Gordon Bell special prize for high performance computing-based COVID-19 research has taught large language models (LLMs) a new lingo — gene sequences — that can unlock insights in genomics, epidemiology and protein engineering. Published in October, the groundbreaking work is a collaboration by more than two dozen academic and commercial researchers Read article >
The post Speaking the Language of the Genome: Gordon Bell Finalist Applies Large Language Models to Predict New COVID Variants appeared first on NVIDIA Blog.
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Collaboration among researchers, like the scientific community itself, spans the globe. Universities and enterprises sharing work over long distances require a common language and secure pipeline to get every device — from microscopes and sensors to servers and campus networks — to see and understand the data each is transmitting. The increasing amount of data Read article >
The post Going the Distance: NVIDIA Platform Solves HPC Problems at the Edge appeared first on NVIDIA Blog.
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The technologies powering the world’s 7 million data centers are changing rapidly. The latest have allowed IT organizations to reduce costs even while dealing with exponential data growth. Simulation and digital twins can help data center designers, builders and operators create highly efficient and performant facilities. But building a digital twin that can accurately represent Read article >
The post Supercomputing Superpowers: NVIDIA Brings Digital Twin Simulation to HPC Data Center Operators appeared first on NVIDIA Blog.
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Whether focused on tiny atoms or the immensity of outer space, supercomputing workloads benefit from the flexibility that the largest systems provide scientists and researchers. To meet the needs of organizations with such large AI and high performance computing (HPC) workloads, Dell Technologies today unveiled the Dell PowerEdge XE9680 system — its first system with Read article >
The post NVIDIA and Dell Technologies Deliver AI and HPC Performance in Leaps and Bounds With Hopper, at SC22 appeared first on NVIDIA Blog.
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So, I am very new to reinforcement learning and I'm not very familiar with all the terminology so any dumbed down explanations would help. My goal here is to build a DDQN agent to play snake and I noticed that for some reason the network keeps outputting the same action consistently. Neither does it learn any sort of policy at all it just continues to crash into the wall. I've tried lowering the gamma, lowering learning rate, changing activation functions, and changing reward and state functions. I'm not exactly sure what the problem is. I've noticed that after looking at the Q values the network outputted it seems to be very similar, e.g: -12.39020109639735, -12.51449593381586, -12.41816412063935, -12.50547760401932
I'm using roblox studio for this project, I pasted the code in a github:…
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Weekend Project: Developed a simple @gradio app to translate from English to Nepali using @MetaAI's pretrained NLLB distilled model from @huggingface hub.
Feedback are highly appreciated.
#deeplearning #translation #nlp
https://huggingface.co/spaces/pmgautam/english-to-nepali-translation
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https://sharpestats.com/mlb-injury-point-process/
I've wanted my hand at modeling injury risk for a while, I finally got around to compiling a large dataset of injuries in the MLB. I wrote an overview of point processes and applied them to injuries in the 2012-2022 seasons to illustrate and quantify how injury history influences future injury risk. Let me know what you think!
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In this video, I am trying to train GPT-J to analyze a paragraph of information and turn it into a short subject line for email marketing. So I imagine you've got a new blog article and you wanna send it to your subscriber list, but you want a nice short, snappy subject line - this prompt will write it for you.
https://www.youtube.com/watch?v=4KcoSG3dj1I
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Amazon Web Services just announced this two news related to AWS SageMaker:
SageMaker JumpStart now provides Stable Diffusion and Bloom models:
Starting today, Amazon SageMaker JumpStart provides two additional state-of-the-art foundational models, Bloom for text generation and Stable Diffusion for image generation. Customers can access newly added models through the SageMaker Python SDK APIs and SageMaker JumpStart UI inside SageMaker Studio.
Bloom can be used to complete the sentence or generate long paragraphs for 46 different languages, and generated text often appears indistinguishable from the human-written text. This release includes Bloom-560m, Bloom-1b1, and Bloom-1b7 models for text generation. Stable diffusion generates images from given text, and is known for its rea…
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Hey forks. We just release a complete open-source solution for accelerating Stable Diffusion pretraining and fine-tuning. It help reduce the pretraining cost by 6.5 times, and the hardware cost of fine-tuning by 7 times, while simultaneously speeding up the processes.
Open source address: https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/diffusion
Our codebase for the diffusion models builds heavily on OpenAI's ADM codebase , lucidrains, Stable Diffusion, Lightning and Hugging Face. Thanks for open-sourcing!
Glad to know your thoughts about our work!
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To make machine learning (ML) more accessible, Amazon launched Amazon SageMaker Studio Lab at AWS re:Invent 2021. Today, tens of thousands of customers use it every day to learn and experiment with ML for free. We made it simple to get started with just an email address, without the need for installs, setups, credit cards, […]
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This is a demonstration of my WIP - Applying reinforcement learning techniques combined with genetic algorithms to self-learning video game agents, in particular, it is an implementation of the NEAT (Neuro Evolution of Augmenting Topologies) algorithm, trained on my own instance of the classic Snake game.
GitHub repo
https://reddit.com/link/ys6tnp/video/lzrmr5jquaz91/player
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Deodel implements in Python a classifier algorithm with native support for mixed attributes data. It features good accuracy and versatility. It is available at:
https://github.com/c4pub/deodel
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This post was co-authored by Arun Gupta, the Director of Business Intelligence at Prodege, LLC. Prodege is a data-driven marketing and consumer insights platform comprised of consumer brands—Swagbucks, MyPoints, Tada, ySense, InboxDollars, InboxPounds, DailyRewards, PollFish, and Upromise—along with a complementary suite of business solutions for marketers and researchers. Prodege has 120 million users and has […]
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Business analysts work with data and like to analyze, explore, and understand data to achieve effective business outcomes. To address business problems, they often rely on machine learning (ML) practitioners such as data scientists to assist with techniques such as utilizing ML to build models using existing data and generate predictions. However, it isn’t always […]
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Researchers make headway in solving a longstanding problem of balancing curious “exploration” versus “exploitation” of known pathways in reinforcement learning.
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When legendary computer scientist Jim Gray accepted the Turing Award in 1999, he laid out a dozen long-range information technology research goals. One of those goals called for the creation of trouble-free server systems or, in Gray’s words, to “build a system used by millions of people each day and yet administered and managed by […]
The post Cloud Intelligence/AIOps – Infusing AI into Cloud Computing Systems appeared first on Microsoft Research.
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The holiday season is approaching, and GeForce NOW has everyone covered. This GFN Thursday brings an easy way to give the gift of gaming with GeForce NOW gift cards, for yourself or for a gamer in your life. Plus, stream 10 new games from the cloud this week, including the first story downloadable content (DLC) Read article >
The post Give the Gift of Gaming With GeForce NOW Gift Cards appeared first on NVIDIA Blog.
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Companies need to collect huge volumes of data produced to extract valuable insights via data analysis to survive, let alone thrive in the competitive marketplace. It is the lifeblood of most business decisions, functions, and processes. But the process of data collection can be highly challenging for many organizations.
The post Want Greater Business Efficiency? Map Your Smart Data Transformation Journey appeared first on Data Science Central.
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Just like many businesses, the world of industrial scientific computing has a data problem. Solving seemingly intractable challenges — from developing new energy sources and creating new modes of transportation, to addressing mission-critical issues such as driving operational efficiencies and improving customer support — requires massive amounts of high performance computing. Instead of having to Read article >
The post NVIDIA AI Turbocharges Industrial Research, Scientific Discovery in the Cloud on Rescale HPC-as-a-Service Platform appeared first on NVIDIA Blog.
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Two months after their debut sweeping MLPerf inference benchmarks, NVIDIA H100 Tensor Core GPUs set world records across enterprise AI workloads in the industry group’s latest tests of AI training. Together, the results show H100 is the best choice for users who demand utmost performance when creating and deploying advanced AI models. MLPerf is the Read article >
The post NVIDIA Hopper, Ampere GPUs Sweep Benchmarks in AI Training appeared first on NVIDIA Blog.
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It’s a new age for safety. Volvo Cars unveiled the Volvo EX90 SUV today in Stockholm, marking the beginning of a new era of electrification, technology and safety for the automaker. The flagship vehicle is redesigned from tip to tail — with a new powertrain, branding and software-defined AI compute — powered by the centralized Read article >
The post New Volvo EX90 SUV Heralds AI Era for Swedish Automaker, Built on NVIDIA DRIVE appeared first on NVIDIA Blog.
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Call it the ultimate example of a job that’s sometimes best done remotely. Wildlife researchers say rhinos are magnificent beasts, but they like to be left alone, especially when they’re with their young. In the latest example of how researchers are using the latest technologies to track animals less invasively, a team of researchers has Read article >
The post HORN Free! Roaming Rhinos Could Be Guarded by AI Drones appeared first on NVIDIA Blog.
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https://youtu.be/W5M-dvzpzSQ
So-called responsible AI licenses are stupid, counterproductive, and have a dangerous legal loophole in them.
OpenRAIL++ License here: https://www.ykilcher.com/license
OUTLINE:
0:00 - Introduction
0:40 - Responsible AI Licenses (RAIL) of BLOOM and Stable Diffusion
3:35 - Open source software's dilemma of bad usage and restrictions
8:45 - Good applications, bad applications
12:45 - A dangerous legal loophole
15:50 - OpenRAIL++ License
16:50 - This has nothing to do with copyright
26:00 - Final thoughts
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Let me start by sharing this list: https://github.com/clvrai/awesome-rl-envs
Are there other awesome RL environments you know of? and when you have an algorithm or an idea, how do you choose what environment to test it on? do you simply use the same environments are everyone? I have seen a lot of papers do maze navigation and kitchen manipulation, but maybe my sample is biased towards those papers. Is there a standard benchmark environment for RL?
Of course, I know it also depends whether you are doing online vs offline RL, dense vs sparse reward. So, I don't expect a concrete answer, but I'd like to hear some guiding principles.
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The possibility to render historical data into comprehensive patterns has added soundness to many areas, and when we consider trading, it has left a giant mark and keeps growing. It is as if you’ve numerous eyes and decades of hard-earned experience to execute wonders and gains. However, mining the data alone isn’t enough to produce… Read More »How to Explore Historical Data Patterns with Machine Learning
The post How to Explore Historical Data Patterns with Machine Learning appeared first on Data Science Central.
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Medical imaging is an important tool for the diagnosis and localization of disease. Over the past decade, collections of medical images have grown rapidly, and open repositories such as The Cancer Imaging Archive and Imaging Data Commons have democratized access to this vast imaging data. Computational tools such as machine learning (ML) and artificial intelligence […]
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Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. It helps data scientists and developers prepare, build, train, and deploy high-quality ML models quickly by bringing together a broad set of capabilities purpose-built for ML. In 2021, AWS announced the integration of NVIDIA Triton Inference Server in SageMaker. You […]
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Amazon SageMaker is a fully managed service that provides developers and data scientists the ability to quickly build, train, and deploy machine learning (ML) models. With SageMaker, you can deploy your ML models on hosted endpoints and get inference results in real time. You can easily view the performance metrics for your endpoints in Amazon […]
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This week saw the news that two major automotive companies, Ford and VW, were walking away from a multi-billion dollar investment into Argo AI, a venture intended to build self-driving vehicles. Instead, the companies hope to roll at least some of that effort back into augmenting drivers' abilities to drive safely and efficiently.
The post DSC Weekly 8 Nov 2022 – Layoffs in the Work From Home Era appeared first on Data Science Central.
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CDO Data-to-Business Innovation Dilemma: Deliver meaningful and relevant business outcomes in the short-term while simultaneously and continuously building and transforming the organization’s data and analytics assets and capabilities.
The post Leveraging Agile to Create Economies of Learning Mindset – Part 2 appeared first on Data Science Central.
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The COVID-19 global pandemic has accelerated the need to verify and onboard users online across several industries, such as financial services, insurance, and healthcare. When it comes to user experience it is crucial to provide a frictionless transaction while maintaining a high standard for identity verification. The question is, how do you verify real people […]
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Amazon SageMaker is a fully-managed service that provides every developer and data scientist with the ability to quickly build, train, and deploy machine learning (ML) models at scale. ML is realized in inference. SageMaker offers four Inference options: Real-Time Inference Serverless Inference Asynchronous Inference Batch Transform These four options can be broadly classified into Online […]
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Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, and is composed of tumors with significant molecular heterogeneity resulting from differences in intrinsic oncogenic signaling pathways [1]. Enabling precision medicine, anticipating patient preferences, detecting disease, and improving care quality for NSCLC patients are important topics among healthcare and life sciences (HCLS) […]
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The warm, friendly animation Mushroom Spirit is featured In the NVIDIA Studio this week, modeled by talented 3D illustrator Julie Greenberg, aka Juliestrator.
The post 3D Illustrator Juliestrator Makes Marvelous Mushroom Magic This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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There is no need to express the necessity of forecasting time series data by deep learning methods. I did provide an article about how we can handle the variations in statistical features (particularly, distribution perspective), which can lead us to a disaster. The model proposed is named AdaRNN, including two main initiatives, TDC and TDM. This article is going to illustrate TDC in detail.
https://medium.com/@rezayazdanfar/how-to-code-temporal-distribution-characterization-tdc-for-time-series-916855cc2d6a
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Fun weekend project: Used Meta AI's NLLB model to translate COCO captions from English to Nepali. Can be a potential data generation method for low-resource languages.
Notebook URL: https://github.com/pmgautam/coco-captions-translation/blob/main/english_to_nepali_translation.ipynb
Any suggestions/feedback are welcomed.
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Most of the ones that I've seen are only text to speech. Would be great if there were one that took into account the source voice's inflections, pacing, etc.
So far I've only been able to find StarGANv2. Which one redditor used to create this. Is this the best there is or are there better alternatives?
Thanks!
EDIT:
Digging a bit deeper, I found this project called IMS-Toucan which has several very impressive demos on huggingface.
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Amazon SageMaker Data Wrangler is a capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare high-quality features for machine learning (ML) applications via a visual interface. Data Wrangler reduces the time it takes to aggregate and prepare data for ML from weeks to minutes. With Data Wrangler, you can […]
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In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that […]
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In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that […]
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“I get the chance to not only watch the future happen, but I can actually be a part of it and create it,” says Ugandan entrepreneur Emmanuel Kasigazi.
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Several hundreds of thousands of raw data files are uploaded by users every day to social media sites. Online user data provides access to an enormous amount of information regarding products, services, places, and events, which makes it suitable for sentiment analysis. Valuable information can be extracted by analyzing the sentiment of the data.
The post Social Media Sentiment Analysis Using Twitter Datasets appeared first on Data Science Central.
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“DIY” and “supercomputer” aren’t words typically used together. But a do-it-yourself supercomputer is exactly what students built at Southern Methodist University, in Dallas, using 16 NVIDIA Jetson Nano modules, four power supplies, more than 60 handmade wires, a network switch and some cooling fans. The project, dubbed SMU’s “baby supercomputer,” aims to help educate those Read article >
The post Tiny Computer, Huge Learnings: Students at SMU Build Baby Supercomputer With NVIDIA Jetson Edge AI Platform appeared first on NVIDIA Blog.
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https://discord.gg/ak24xSdr
Some of you may be interested in using AI art generation in a meanginful way, using symbols from tarot and Jungian archtypes. Feel free to join a server where we explore that and share ideas and artwork!
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Node.js and Python are the most popular technologies for backend development. And, when it comes to web development, it could be challenging to choose between Node.js & Python. The selection of the right technology stack for your project is critical. This is primarily dictated by the project’s cost, launch timeline & how efficient it is to maintain and scale.
The post Node.js vs Python: Which One Should You Use for Web Apps? appeared first on Data Science Central.
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Please consider submitting your paper to the AAAI2023 workshop on Dynamical Systems and Machine Learning !! The submission deadline has been extended to Nov 8.
When Machine Learning meets Dynamical Systems: Theory and Applications
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For those in NLP and Finance 🚀🚀🔥, there's a new demo on how to sparse transfer 2 dense BERT models and run inference on a live Twitter Stream. The models are able to classify finance topic and sentiment tweets. We also open sourced two new datasets for you to train your own models! You can read more about this effort in our blog.
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https://www.youtube.com/watch?v=gdDVn1LuYs4
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Here is a podcast episode with Chelsea Finn where we discuss some of the biggest bottlenecks in RL and robotics such as Sim2Real transferability, distribution shifts, and much more!
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Link: https://openreview.net/group?id=ICLR.cc/2023/Conference
A thread for ICLR '23 review related discussion.
What's your score?
Are you satisfied?
Other comments about the review process?
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Hi all, many of us have gotten a lot out of being part of the AI community on Twitter, and right now things seem kind of bleak for the bird app.
So, The Gradient is launching a new Twitter-like space for the AI community - Sigmoid Social.
We hope to ensure the thriving AI Twitter community can live on by maintaining this Mastodon instance going forward. Join Here
We welcome suggestions and questions!
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( 56
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I have worked on several Document Understanding (DU) projects for my company during the last year. We've mainly used UiPath and Google's DocumentAI.
Even though I know how these models theoretically work, I'd like to study the code behind them. I want to learn how exactly they combine OCR, NLP and Computer Vision to achieve their tasks instead of treating them like black boxes.
However, to my surprise, I've failed to find an open-source implementation of a DU model so far.
Do you know of any such open-source projects or anything similar that will give me a deep insight into how these models work?
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Here is a podcast episode with Chelsea Finn where we discuss some of the biggest bottlenecks in RL and robotics such as Sim2Real transferability, distribution shifts, and much more!
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The last few years have seen rapid development in the field of deep learning. Although hardware has improved, such as with the latest generation of accelerators from NVIDIA and Amazon, advanced machine learning (ML) practitioners still regularly encounter issues deploying their large deep learning models for applications such as natural language processing (NLP). In an […]
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Amazon SageMaker Data Wrangler is a UI-based data preparation tool that helps perform data analysis, preprocessing, and visualization with features to clean, transform, and prepare data faster. Data Wrangler pre-built flow templates help make data preparation quicker for data scientists and machine learning (ML) practitioners by helping you accelerate and understand best practice patterns for […]
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Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, […]
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Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, image, […]
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3D artist Rafi Nizam has worn many hats since starting his career as a web designer more than two decades ago, back when “designing for the web was still wild,” as he put it.
The post Meet the Omnivore: Indie Showrunner Transforms Napkin Doodles Into Animated Shorts With NVIDIA Omniverse appeared first on NVIDIA Blog.
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Here is a podcast episode with Chelsea Finn where we discuss some of the biggest bottlenecks in RL and robotics such as Sim2Real transferability, distribution shifts, and much more!
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https://www.nature.com/articles/s41598-022-19218-0
https://youtu.be/WyAspVjo6VI
Above links are to the paper and a talk about this research. (Starts at 1m35s)
We show how random threshold networks can compute complex Boolean functions in cascades or avalanches. This has many implications for neuroscience and other domains, and may help in discovering more efficient methods for learning in artificial networks.
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The Bonsai Brain is a low code AI component that is integrated with Automation systems. The Bonsai Brain focuses on adding value to various Autonomous and AI systems.
https://analyticsindiamag.com/bonsai-brain-in-azure-platform/
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The Bonsai Brain is a low code AI component that is integrated with Automation systems. The Bonsai Brain focuses on adding value to various Autonomous and AI systems.
https://analyticsindiamag.com/bonsai-brain-in-azure-platform/
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Digital transformation is the word of the decade as every organization is transforming its businesses. Learn how Artificial Intelligence accelerates this process.
Read here : https://www.artiba.org/blog/accelerating-digital-transformation-with-artificial-intelligence
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Did you know that acquiring a new customer can be between 5x and 25x MORE expensive than retaining a customer?
The effects of not focusing on customer churn prediction and prevention are particularly acute in industries such as telecommunications and banking. This could potentially result in the loss of recurring revenue and soft costs, such as your brand value diminishing from dissatisfied customers.
PI.EXCHANGE is holding a webinar where we show you how you can use Machine Learning to predict customer churn in the telecommunications industry with ZERO coding necessary.
Interested? Click here to register, limited spots available!
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In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. We also discussed how to extract various types of documents in an […]
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The goal of intelligent document processing (IDP) is to help your organization make faster and more accurate decisions by applying AI to process your paperwork. This two-part series highlights the AWS AI technologies that insurance companies can use to speed up their business processes. These AI technologies can be used across insurance use cases such […]
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To delight customers and minimize packaging waste, Amazon must select the optimal packaging type for billions of packages shipped every year. If too little protection is used for a fragile item such as a coffee mug, the item will arrive damaged and Amazon risks their customer’s trust. Using too much protection will result in increased […]
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Starting today, developers can begin building apps with the DALL·E API.
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The numbers are in, and they paint a picture of data centers going a deeper shade of green, thanks to energy-efficient networks accelerated with data processing units (DPUs). A suite of tests run with help from Ericsson, RedHat and VMware show power reductions up to 24% on servers using NVIDIA BlueField-2 DPUs. In one case, Read article >
The post Take the Green Train: NVIDIA BlueField DPUs Drive Data Center Efficiency appeared first on NVIDIA Blog.
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Skycatch, a San Francisco-based startup, has been helping companies mine both data and minerals for nearly a decade. The software-maker is now digging into the creation of digital twins, with an initial focus on the mining and construction industry, using the NVIDIA Omniverse platform for connecting and building custom 3D pipelines. SkyVerse, which is a Read article >
The post Unearthing Data: Vision AI Startup Digs Into Digital Twins for Mining and Construction appeared first on NVIDIA Blog.
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It’s a brand new month, which means this GFN Thursday is all about the new games streaming from the cloud. In November, 26 titles will join the GeForce NOW library. Kick off with 11 additions this week, like Total War: THREE KINGDOMS and new content updates for Genshin Impact and Apex Legends. Plus, leading 5G Read article >
The post Check Out 26 New Games Streaming on GeForce NOW in November appeared first on NVIDIA Blog.
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Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.
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Save times on creating models and data set cleansing. You can check out the demo I made https://youtu.be/81Q2aQWuwDM
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Intelligent document processing (IDP) has seen widespread adoption across enterprise and government organizations. Gartner estimates the IDP market will grow more than 100% year over year, and is projected to reach $4.8 billion in 2022. IDP helps transform structured, semi-structured, and unstructured data from a variety of document formats into actionable information. Processing unstructured data […]
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Computing systems that appear to generate brain-like activity may be the result of researchers guiding them to a specific outcome.
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Enjoy my reddit frens - I made a long blog post about it https://stuckincustoms.com/2022/11/01/34-crazy-photos-from-burning-man-that-dont-exist/?fbclid=IwAR24QGZngGqjhuhDNLaeY4WsxJchO48Qsqov31Y1y4mac3RjJ2Rdp8af3GQ
https://preview.redd.it/qvhx2blqidx91.png?width=784&format=png&auto=webp&s=98f7e1017591394d866ef34773d717d7aefac107
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This week saw the news that two major automotive companies, Ford and VW, were walking away from a multi-billion dollar investment into Argo AI, a venture intended to build self-driving vehicles. Instead, the companies hope to roll at least some of that effort back into augmenting drivers' abilities to drive safely and efficiently.
The post DSC Weekly 1 Nov 2022 – Why the Future Seldom Matches Expectations appeared first on Data Science Central.
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Wearable devices are gadgets that can comfortably be worn on a body. These devices have intelligent sensors connected to the internet for collecting data. The growing partnership and collaboration for bringing AI functionalities to wearable devices provide new developments in AI wearable devices in the coming years. In today’s busy schedule, people want to improve… Read More »AI Enable Wearable Devices: The Next Layer of IoT and Machine Learning
The post AI Enable Wearable Devices: The Next Layer of IoT and Machine Learning appeared first on Data Science Central.
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Every organization needs teamwork, and for a hybrid or digital workforce, it’s even more crucial. Your company may experience low chances of expansion and success if the team dynamics are unhealthy. Interacting with coworkers in a physical office setting offers numerous opportunities to learn about one another’s lives, discuss any problems, and plan initiatives. You… Read More »Strategies and Examples Of Effective Team Dynamics In A Digital Workspace
The post Strategies and Examples Of Effective Team Dynamics In A Digital Workspace appeared first on Data Science Central.
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Identifying, collecting, and transforming data is the foundation for machine learning (ML). According to a Forbes survey, there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. In addition, many of our customers face several challenges during the model operationalization phase […]
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Amazon SageMaker Autopilot automatically builds, trains, and tunes the best custom machine learning (ML) models based on your data. It’s an automated machine learning (AutoML) solution that eliminates the heavy lifting of handwritten ML models that requires ML expertise. Data scientists need to only provide a tabular dataset and select the target column to predict, […]
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Relentless advancement in technology is improving the decision-making capacity of humans and enterprises alike. Digitization of the physical world has accelerated the three dimensions of data: velocity, variety, and volume. This has made information more widely available than before, allowing for advancements in problem-solving. Now, with cloud-enabled democratized availability, technologies like artificial intelligence (AI) and […]
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Sponsored Post Attend the Data Science Symposium 2022 on November 8 The Center for Business Analytics at the University of Cincinnati will present its annual Data Science Symposium 2022 on November 8. This all day in-person event will have three featured speakers and two tech talk tracks with four concurrent presentations in each track. The […]
The post Attend the Data Science Symposium 2022, November 8 in Cincinnati appeared first on Machine Learning Mastery.
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A perpetual shower of random raindrops falls inside a three-foot metal ring Dale Durran erected outside his front door (shown above). It’s a symbol of his passion for finding order in the seeming chaos of the planet’s weather.
The post Stormy Weather? Scientist Sharpens Forecasts With AI appeared first on NVIDIA Blog.
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From robots playing football to learning how to walk on the moon! This article brings the top 8 reinforcement learning innovations that shaped AI across several industries in 2022.
https://analyticsindiamag.com/what-happened-in-reinforcement-learning-in-2022/
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ServiceNow and Hugging Face have released a 3.1TB dataset of permissively licensed code in 30 programming languages. This is about 4x larger than the dataset used to train GPT-3 (though obviously ‘code only’), and 3x the size of CodeParrot, the next largest released code dataset.
Paper: https://drive.google.com/file/d/17J-0KXTDzY9Esp-JqXYHIcy--i_7G5Bb/view
https://wandb.ai/telidavies/ml-news/reports/The-Stack-BigCode-s-New-3-TB-Dataset-Of-Permissively-Licensed-Code--VmlldzoyODY1MDUy
Hugging Face: https://huggingface.co/datasets/bigcode/the-stack
Twitter: https://twitter.com/BigCodeProject/status/1585631176353796097
Download The Stack: https://hf.co/BigCode
Source: https://twitter.com/BigCodeProject/status/1585631176353796097
Source: https://twitter.com/BigCodeProject/status/1585631176353796097
Source: https://twitter.com/BigCodeProject/status/1585631176353796097
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Github Repository: https://github.com/Sanster/lama-cleaner
https://reddit.com/link/yicyvd/video/cxv0jov6d5x91/player
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I'm looking to validate my new SaaS idea so sharing the landing page to see if I can build some interest.
Kiku Labs offers a way to get Jupyter Labs with powerful compute and storage for experimenting with your data science projects. The labs are saved and restored between sessions, and you're charged based on the usage.
Feel free to ask any questions.
Please join the waiting list if you're interested in the product.
https://kikulabs.com/
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Machine learning (ML) has proven to be one of the most successful and widespread applications of technology, affecting a wide range of industries and impacting billions of users every day. With this rapid adoption of ML into every industry, companies are facing challenges in supporting low-latency predictions and with high availability while maximizing resource utilization […]
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Amazon SageMaker JumpStart provides pre-trained, open-source models for a wide range of problem types to help you get started with machine learning (ML). JumpStart also provides solution templates that set up infrastructure for common use cases, and executable example notebooks for ML with Amazon SageMaker. As a business user, you get to do the following […]
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In the pursuit of superior accuracy, deep learning models in areas such as natural language processing and computer vision have significantly grown in size in the past few years, frequently counted in tens to hundreds of billions of parameters. Training these gigantic models is challenging and requires complex distribution strategies. Data scientists and machine learning […]
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A recent HBR article, “Why Do Chief Data Officers Have Such Short Tenures?” by Thomas Davenport, Randy Bean, and Josh King, highlighted the Chief Data Officer’s (CDO) “Data-to-Business Innovation” challenge. The main charter for the CDO is to accelerate the Data-to-Business Innovation flywheel; to guide the business in becoming more effective at leveraging data and analytics to optimize its key business and operational use cases.
The post Leveraging Agility to Create Economies of Learning Mindset – Part 1 appeared first on Data Science Central.
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Yes, stickers are fun and inexpensive. They can also be very helpful for some offline marketing, yes. But how in the world could they assist your web marketing campaign? We understand if those are your thoughts. Sticker printing might not be your first thought when planning your next viral campaign. But maybe it ought to…… Read More »How Custom Stickers could help your Viral Marketing Campaign
The post How Custom Stickers could help your Viral Marketing Campaign appeared first on Data Science Central.
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Artificial intelligence (AI) and machine learning (ML) have received widespread interest in recent years due to their potential to set new paradigms in healthcare delivery. It is being said that machine learning will transform many aspects of healthcare delivery, and radiology & pathology are among the specialties set to be among the first to take advantage of this technology.
The post Challenges to Successful AI Implementation in Healthcare appeared first on Data Science Central.
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any help would be really appreciated
https://github.com/openai/gym/issues/3141
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Artists deploying the critically acclaimed GeForce RTX 4090 GPUs are primed to receive significant performance boosts in key creative apps. Plus, a special spook-tober edition of In the NVIDIA Studio features two talented 3D artists and their Halloween-themed creations this week.
The post GeForce RTX 40 Series Receives Massive Creator App Benefits This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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One of the biggest names in racing is going even bigger. Performance automaker Lotus launched its first SUV, the Eletre, earlier this week. The fully electric vehicle sacrifices little in terms of speed and outperforms when it comes to technology. It features an immersive digital cockpit, lengthy battery range of up to 370 miles and Read article >
The post Think Fast: Lotus Eletre Tops Charts in Driving and AI Compute Speeds, Powered by NVIDIA DRIVE Orin appeared first on NVIDIA Blog.
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Venus ransomware has been active since August 2022. The attack campaign targets Remote Desktop services. Which cybersecurity measures should you take to stay safe?
The post Cybersecurity Measures Can Protect Windows Devices From Venus Ransomware appeared first on Data Science Central.
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Low code development is getting a lot of traction. Low code platform development provides a more accessible (and typically a graphical) interface for developing applications.
The post Low-code AI Development Could Be a Good Strategy for SMBs appeared first on Data Science Central.
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We have recently open sourced our inference acceleration library, voltaML.
⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.
We would love for the reddit and the open-source community to use it, give feedback and help us improve the library.
https://github.com/VoltaML/voltaML
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Data loss is a highly possible and ugly eventuality that can befall any business. But you can prevent it by backing up your information before the proverbial rainy day.
The post A Guide to Data Protection Methods appeared first on Data Science Central.
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Developers have fallen into a problem-solution loop. There is a continuous effort to solve one or another problem in the developer community. Ironically, there are so many solutions now that there is a need for another solution for the existing ones.
https://analyticsindiamag.com/could-astro-compete-with-next-js-to-become-the-next-big-framework/
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https://www.businesswire.com/news/home/20220903005014/en/Ant-Group-Makes-Trusted-AI-Solutions-More-Accessible-to-Support-Industrial-Collaboration-in-Digital-Economy
They only name TuGraph. Supposedly they made their "privacy-preserving computation framework open source" but there's no name or Github link. I contacted their media guy but no response.
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I don't dress my cat in costumes because, without even trying, I know she would hate that.
But now I can use text-to-image generators like DALL-E2 to imagine what she would look like in costumes. After all, even if it never saw my cat in a robot costume
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AI Weirdness: the strange side of machine learning
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Hi all,
Ikomia API is an open source tool for building and deploying Computer Vision solutions without much effort. It's a Python library built upon a C++ core. You can mix your preferred frameworks such as OpenCV, Detectron2, OpenMMLab or YOLO with the best state-of-the-art algorithms from individual repos.
At Ikomia, we deeply believe that sharing scientific knowledge is the key to success, that's why we try to make research-based algorithms ready-to-use for developers.
Ikomia is developed by developers for developers :)
More info on our GitHub.
You can try our Google Colab on YOLOv7 here if you are interested.
Support and feedback are welcome ;)
Enjoy !
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I am looking for something similar to this dataset but with about 1000 participants. If anyone could help with some leads I would really appreciate it.
Here is the dataset that I am referring to: https://www.kaggle.com/datasets/uciml/breast-cancer-wisconsin-data
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While there are various practical applications of reinforcement learning, the concept as a whole poses some limitations when used in developing autonomous machine intelligence
https://analyticsindiamag.com/is-reinforcement-learning-still-relevant/
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Sponsored Post Over the past few years, a lot has changed in the world of stream processing systems. This is especially true as companies manage larger amounts of data than ever before. In fact, roughly 2.5 quintiliion bytes worth of data are generated every day. Manually processing the sheer amount of data that […]
The post Data Engineering for ML: Optimize for Cost Efficiency appeared first on Machine Learning Mastery.
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One of China’s popular battery-electric startups now has the brains to boot. NETA Auto, a Zheijiang-based electric automaker, this week announced it will build its future electric vehicles on the NVIDIA DRIVE Orin platform. These EVs will be software defined, with automated driving and intelligent features that will be continuously upgraded via over-the-air updates. This Read article >
The post Neural NETA: Automaker Selects NVIDIA DRIVE Orin for AI-Powered Vehicles appeared first on NVIDIA Blog.
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When customers walk into a Microsoft Experience Center in New York City, Sydney or London, they’re instantly met with stunning graphics displayed on multiple screens and high-definition video walls inside a multi-story building. Built to showcase the latest technologies, Microsoft Experience Centers surround customers with vibrant, immersive graphics as they explore new products, watch technical Read article >
The post Microsoft Experience Centers Display Scalable, Real-Time Graphics With NVIDIA RTX and Mosaic Technology appeared first on NVIDIA Blog.
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This spook-tacular Halloween edition of GFN Thursday features a special treat: 40% off a six-month GeForce NOW Priority Membership — get it for just $29.99 for a limited time. Several sweet new games are also joining the GeForce NOW library. Creatures of the night can now stream vampire survival game V Rising from the cloud. Read article >
The post Make Gaming a Priority: Special Membership Discount Hits GeForce NOW for Limited Time appeared first on NVIDIA Blog.
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This post is co-written with Chaim Rand from Mobileye. Certain machine learning (ML) workloads, such as training computer vision models or reinforcement learning, often involve combining the GPU- or accelerator-intensive task of neural network model training with the CPU-intensive task of data preprocessing, like image augmentation. When both types of tasks run on the same […]
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With environmental, social, and governance (ESG) initiatives becoming more important for companies, our customer, one of Greater China region’s top convenience store chains, has been seeking a solution to reduce food waste (currently over $3.5 million USD per year). Doing so will allow them to not only realize substantial operating savings, but also support corporate […]
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Yilun Du, a PhD student and MIT CSAIL affiliate, discusses the potential applications of generative art beyond the explosion of images that put the web into creative hysterics.
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Proceedings - First International Symposium on the Tsetlin Machine
Finally it is here! The proceedings of The First International Symposium on the Tsetlin Machine. Fourteen exciting papers advancing the Tsetlin machine research. Many thanks to the authors, my co-organizers, and all the supporters of the Tsetlin machine - we build this together. #democraticAI #greenAI #logicbasedAI https://ieeexplore.ieee.org/xpl/conhome/9923753/proceeding
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We are releasing Kernl under Apache 2 license, a library to make PyTorch models inference significantly faster. With 1 line of code we applied the optimizations and made Bert up to 12X faster than Hugging Face baseline. T5 is also covered in this first release (> 6X speed up generation and we are still halfway in the optimizations!). This has been possible because we wrote custom GPU kernels with the new OpenAI programming language Triton and leveraged TorchDynamo.
Project link: https://github.com/ELS-RD/kernl/
E2E demo notebooks: XNLI classification, T5 generation
Benchmarks ran on a 3090 RTX GPU, 12 cores Intel CPU, more info below
On long sequence length inputs, Kernl is most of the time the fastest inference engine, and close to Nvidia TensorRT on shortest ones. Keep in mind that B…
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Hi all,
Thought it would be helpful for the people in this group on whoever is doing research and developments in speech AI.
There is free digital speech AI summit coming up where industry and research experts coming together from Google, Meta and NVIDIA to talk about latest work in research, production and open-source.
Register here (https://www.nvidia.com/en-us/events/speech-ai-summit/), if you are interested.
If you have any questions, please leave a comment and I will do my best to respond as soon as possible.
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I posted the question on StackOverflow
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Hello RL learners,
You might find this repository helpful to apply what you have been learning in the DeepMind's RL course.
https://github.com/mhd-medfa/IU-Reinforcement-Learning-22-lab
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In the 2002 movie Minority Report (based on a short story by Philip K Dick), director Steven Spielberg imagined a future in which three psychics can "see" murders before they happen. Their clairvoyance allows Tom Cruise and his "Precrime" police force to avert nearly all potential homicides.
Twenty years on, in the real world, scientists and law enforcement agencies are using data mining and machine learning to mimic those psychics. Such "predictive policing", as it is called, is based on the fact that many crimes—and criminals—have detectable patterns.
Predictive policing has enjoyed some successes. In a case study in the US, one police department was able to reduce gun incidents by 47% over the typically gun-happy New Year's Eve. Manchester police in the UK were similarly able to predi…
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Note: this post was completed as part of a written work trial for Epoch.
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Today Amazon SageMaker announced the support of Grid search for automatic model tuning, providing users with an additional strategy to find the best hyperparameter configuration for your model. Amazon SageMaker automatic model tuning finds the best version of a model by running many training jobs on your dataset using a range of hyperparameters that you […]
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Amazon SageMaker Serverless Inference is a purpose-built inference option that makes it easy for you to deploy and scale machine learning (ML) models. It provides a pay-per-use model, which is ideal for services where endpoint invocations are infrequent and unpredictable. Unlike a real-time hosting endpoint, which is backed by a long-running instance, compute resources for […]
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Monitoring machine learning (ML) predictions can help improve the quality of deployed models. Capturing the data from inferences made in production can enable you to monitor your deployed models and detect deviations in model quality. Early and proactive detection of these deviations enables you to take corrective actions, such as retraining models, auditing upstream systems, […]
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In just 5 years, tens of thousands of customers have tapped Amazon SageMaker to create millions of models, train models with billions of parameters, and generate hundreds of billions of monthly predictions. The seeds of a machine learning (ML) paradigm shift were there for decades, but with the ready availability of virtually infinite compute capacity, […]
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There’s a new sidewalk-savvy robot, and it’s delivering coffee, grub and a taste of fun. The bot is garnering interest for Oakland, Calif., startup Cartken. The company, founded in 2019, has rapidly deployed robots for a handful of customer applications, including for Starbucks and Grubhub deliveries. Cartken CEO Chris Bersch said that he and co-founders Read article >
The post Jetson-Driven Grub Getter: Cartken Rolls Out Robots-as-a-Service for Deliveries appeared first on NVIDIA Blog.
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New Features
Vectorized gym support: Added a new problem class, evotorch.neuroevolution.VecGymNE, to solve vectorized gym environments. This new problem class can work with brax environments and can exploit GPU acceleration.
PicklingLogger: Added a new logger, evotorch.logging.PicklingLogger, which periodically pickles and saves the current solution to the disk.
Python 3.7 support: The Python dependency was lowered from 3.8 to 3.7. Therefore, EvoTorch can now be imported from within a Google Colab notebook.
Fixes
Fixed a performance issue caused by the undesired cloning of the entire storages of tensor slices.
Fixed the signature and the docstrings of the overridable method _do_cross_over(...) of the class evotorch.operators.CrossOver.
Check out the release and try it now:
https://github.com/nnaisense/evotorch/releases/tag/v0.3.0
Below you can see some videos of agents trained for Brax environments using EvoTorch and vectorized neuroevolution!
Humanoid Environment
Fetch Environment
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New Features
Vectorized gym support: Added a new problem class, evotorch.neuroevolution.VecGymNE, to solve vectorized gym environments. This new problem class can work with brax environments and can exploit GPU acceleration.
PicklingLogger: Added a new logger, evotorch.logging.PicklingLogger, which periodically pickles and saves the current solution to the disk.
Python 3.7 support: The Python dependency was lowered from 3.8 to 3.7. Therefore, EvoTorch can now be imported from within a Google Colab notebook.
Fixes
Fixed a performance issue caused by the undesired cloning of the entire storages of tensor slices.
Fixed the signature and the docstrings of the overridable method _do_cross_over(...) of the class evotorch.operators.CrossOver.
Check out the release and try it now:
https://github.com/nnaisense/evotorch/releases/tag/v0.3.0
Below you can see some videos of agents trained for Brax environments using EvoTorch and vectorized neuroevolution!
Humanoid Environment
Fetch Environment
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You can read the full announcement post here: https://farama.org/Announcing-The-Farama-Foundation
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AutoPrognosis is an AutoML library for tabular data focused on survival analysis or classification tasks. The library can select optimal prediction pipelines for a given dataset and a task type and can handle data missingness using HyperImpute.
On top of that, the library provides interpretability and uncertainty information, and can be used to build end-to-end apps on top of Streamlit.
Code: https://github.com/vanderschaarlab/autoprognosis
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This video was generated with AI by 200 carefully engineered prompts, resulting in 7361 images. Let me know what you think. I am happy to answer any questions and if you want to collaborate let me know!
https://www.youtube.com/watch?v=n-qjJWc21d8
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This post was co-written with Sachin Kadyan, a leading developer of OpenFold. In drug discovery, understanding the 3D structure of proteins is key to assessing the ability of a drug to bind to it, directly impacting its efficacy. Predicting the 3D protein form, however, is very complex, challenging, expensive, and time consuming, and can take […]
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This post walks you through a few new features that make it simple to design a conversational flow entirely within Amazon Lex that adheres to best practices for IVR design related to retry prompting. We also cover how to configure a DTMF-only prompt as well as other attributes like timeouts and barge-in. When designing an […]
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As AI adoption is accelerating across the industry, customers are building sophisticated models that take advantage of new scientific breakthroughs in deep learning. These next-generation models allow you to achieve state-of-the-art, human-like performance in the fields of natural language processing (NLP), computer vision, speech recognition, medical research, cybersecurity, protein structure prediction, and many others. For […]
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In September, Kaggle released their annual survey for the state of data science and machine learning Here are some top level findings I found interesting An increasing number of data scientists are living and working in India and Japan Python and SQL remain the two most common programming skills for data scientists VSCode is now… Read More »State of Data Science and Machine Learning: Kaggle 2022 Survey
The post State of Data Science and Machine Learning: Kaggle 2022 Survey appeared first on Data Science Central.
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Snowflake is one of the most popular cloud data warehouses today. In just one decade, the company has grown to more than 6,800 enterprise customers and $1.2 billion in annual revenue, more than double its prior year. Like other cloud data warehouses, including Databricks, Amazon RedShift, and Google BigQuery, Snowflake boasts an attractive combination of… Read More »Snowflake Users and Their Data: A Report on Snowflake Users and How They Optimize Their Data
The post Snowflake Users and Their Data: A Report on Snowflake Users and How They Optimize Their Data appeared first on Data Science Central.
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I received outstanding feedback from many folks in updating the Data Product Development canvas including Jon Cooke, Harsha Srivatsa, Craig (Doc) Savage, Melissa Perry, Raj Yakkali, Erik Burd, and Mark Stouse amongst the many. And as I like to say, “All ideas are worthy of consideration” and I did consider all your input as I… Read More »Data Subassemblies and Data Products Part 3 – Data Product Dev Canvas
The post Data Subassemblies and Data Products Part 3 – Data Product Dev Canvas appeared first on Data Science Central.
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Are you wondering how to protect your organization’s data against ransomware attacks? You have come to the right place. Avoiding ransomware isn’t a Herculean task, but before we share the specifics of how to prevent ransomware attacks, we would like to talk about what exactly ransomware attacks are. What Are Ransomware Attacks? There are different… Read More »10 Tips to Protect Your Organization Against Ransomware Attacks in 2022
The post 10 Tips to Protect Your Organization Against Ransomware Attacks in 2022 appeared first on Data Science Central.
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The future is here, and it's coming for your job. That's the claim of many pundits, who argue that artificial intelligence (AI) will…
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It’s a good time to be alive. Not only do we have the privilege of witnessing history in the making, but we also have access to some of the…
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As businesses strive to create more engaging content, many are turning to AI story generators as a way to produce high-quality content…
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Testing is essential to guaranteeing success in the very cutthroat environment of the mobile app and game industry. Even if you don’t give…
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This week 'In the NVIDIA Studio,' we’re highlighting 3D and motion graphics artist SouthernShotty — and scenes from his soon-to-be released short film, Watermelon Girl.
The post 3D Artist SouthernShotty Creates Wholesome Characters This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Blog post: https://fillout.com/blog/how-we-used-ai-to-improve-our-user-onboarding/
I shared Fillout last week and several of you asked how it works under the hood. Wrote this quick blog post to explain how. Let me know what you think!
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Hi,
I'd like to introduce a human segmentation toolkit called PP-HumanSeg.
This might be some help to you. Hope you enjoy it.
This toolkit has:
A large-scale video portrait dataset that contains 14K frames for conference scenes
Portrait segmentation models that achieve SOTA performance (mIoU 96.63%, 63 FPS on mobile phone)
Several out-of-box human segmentation models for real scene
Github: https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.6/contrib/PP-HumanSeg
https://i.redd.it/qldxzglroqv91.gif
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In this post, we introduce a new analysis in the Data Quality and Insights Report of Amazon SageMaker Data Wrangler. This analysis assists you in validating textual features for correctness and uncovering invalid rows for repair or omission. Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from […]
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In the past decade, we have seen Deep learning (DL) science adopted at a tremendous pace by AWS customers. The plentiful and jointly trained parameters of DL models have a large representational capacity that brought improvements in numerous customer use cases, including image and speech analysis, natural language processing (NLP), time series processing, and more. […]
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I have developed a framework named AIJack to simulate various attacks against machine learning models, mainly based on PyTorch and sklearn. I have implemented more than 20 algorithms, such as Model Inversion, Poisoning Attack, Evasion Attack, Federated Learning, Split Learning, Differential Privacy, and Homomorphic Encryption. I am looking forward to your feedback!
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Sensor AI solutions specialist SenSen has turned to the NVIDIA Jetson edge AI platform to help regulators track heavy vehicles moving across Australia. Australia’s National Heavy Vehicle Regulator, or NHVR, has a big job — ensuring the safety of truck drivers across some of the world’s most sparsely populated regions. They’re now harnessing AI to Read article >
The post Keep On Trucking: SenSen Harnesses Drones, NVIDIA Jetson, Metropolis to Inspect Trucks appeared first on NVIDIA Blog.
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I'm trying to do an algorithm project on text to speech, and found these channels that have an extremely realistic text to speech software. I know it isn't a human because multiple different channels use it, but its much better than the regular text to speech software. If anyone has any idea, please let me know, and I'll pay 100 dollars to the first person who tells me how to find this software cuz I've been searching for a long time
videos:
He Is Handsome And Talented In Studying But Playing Games Using "Hack" | Anime Recap - YouTube
He Got Possessed By A Overpowered Dragon Soul And Takes Revenge On The Demons - YouTube
He Can Easily Learn All The Hardest Forbidden Magic - YouTube
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I'm trying to do an algorithm project on text to speech, and found these channels that have an extremely realistic text to speech software. I know it isn't a human because multiple different channels use it, but its much better than the regular text to speech software. If anyone has any idea, please let me know, and I'll pay 20 dollars to the first person who tells me how to find this software cuz I've been searching for a long time
[UPDATE] ill pay 100 DOLLARS!
videos:
He Is Handsome And Talented In Studying But Playing Games Using "Hack" | Anime Recap - YouTube
He Got Possessed By A Overpowered Dragon Soul And Takes Revenge On The Demons - YouTube
He Can Easily Learn All The Hardest Forbidden Magic - YouTube
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https://blog.tensorflow.org/2022/10/building-the-future-of-tensorflow.html
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Blockchain is a method for storing data that makes it harder to hack the system. The business blockchain is a distributed, encrypted database that its authorized users can only alter. Users have a complete say over how other users view data and what actions can be taken by other users within the network.
The post How Businesses can boost Revenue Using Blockchain Technology appeared first on Data Science Central.
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Banks and financial institutions offer great value and convenience to their end users. However, they are notorious for being susceptible to fraudulent attacks such as credit card identity theft. A lot has been done in adding layers of security to an individual’s banking experience.
The post How RFID Technology is Applied in Banks and Financial Institutions appeared first on Data Science Central.
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txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. A full-fledged vector search application can be created with a couple lines of code. There are also almost 40 example notebooks covering many different use cases.
5.1 adds new model support for the translation pipeline, OpenAI Whisper support in the transcription pipeline and ARM Docker images. Topic modeling was also updated with improvements, including how to use BM25/TF-IDF indexes to drive topic models.
GitHub | Release Notes | Docker Hub | Examples
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Here is a podcast episode with Hattie Zhou where we discuss iterative learning, The Lottery Ticket Hypothesis, their paper on fortuitous forgetting, and much more!
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I just also want to know how someone can believe that this thing is real. There's literally 5 different youtube channels doing the same thing and wanted to know what the engine they're using is.
youtube video: He Mastered All Elements And Overpowered The Gods - YouTube
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The Biden administration has launched a new workforce development funding program to help people, including those at community colleges, gain skills for emerging jobs in fields like AI, biotechnology, quantum science and new areas of advanced manufacturing and semiconductor.
Forbes article talks about how the program could scale AI education at new education and training providers where its not currently common like community colleges. Talks about Intel's work to get AI at community colleges in all 50 states by next year
https://www.forbes.com/sites/shalinjyotishi/2022/10/20/biden-administration-launches-new-workforce-program-for-emerging-technology-jobs
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Here is a podcast episode with Hattie Zhou where we discuss iterative learning, The Lottery Ticket Hypothesis, their paper on fortuitous forgetting, and much more!
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Hello there, I hope you all are doing well. I am AI research Engineer who has been working in the AI industry for almost two years now. I am also a Teacher Assistant at the university I graduated from. I had lots of work in NLP and some in CV, but quite a few in RL. Therefore, I want to push myself and work in the research field, specifically in RL. I will attach my Resume here. So that if you are interested in having strong soul, hard working guys in your team, please let me know!
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